Senior Data Engineer / SSE
Apna (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 14–25 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate scalable batch and near-real-time data pipelines across product, business, growth, and machine learning use cases.
- Manage and improve lakehouse architecture using Apache Hudi and large-scale query platforms like Presto/Trino, including orchestration with Apache Airflow.
- Ensure data platform reliability, performance optimization, data quality, and mentor junior engineers while partnering with cross-functional teams to meet data needs.
Minimum Requirements
- 4-6 years of experience in data engineering, preferably at scale.
- Hands-on experience with Apache Airflow or similar orchestration systems; strong knowledge of Presto/Trino and Apache Hudi concepts including copy-on-write vs merge-on-read, upserts, incremental reads, compaction, clustering, schema evolution, and partitioning.
- Proficient in SQL and at least one programming language such as Python, Java, or Scala.
- Location requirement: Work from Office - Domlur, Bangalore (5 days/week).
Ideal Candidate Profile
- Experienced in building reliable ETL/ELT pipelines within complex distributed data processing and storage systems.
- Operates with a strong production ownership and debugging mindset with ability to reason trade-offs between freshness, cost, reliability, latency, and complexity.
- Skilled at influencing architecture decisions and mentoring others in data modeling, pipeline ownership, data quality, and platform scalability within fast growing data environments.